Job Description
Join Intel AI Lab and contribute to groundbreaking research that will shape the future of computational chemistry and machine learning. As a Foundational AI Research Scientist at Intel AI Lab, you will pioneer advanced machine learning techniques to revolutionize computational chemistry. Your work will integrate cutting-edge geometric deep learning and scalable machine learning methods to enhance traditional scientific computing processes. The results of your research will be disseminated through top-tier publications, open-source software, and direct technology transfers to Intel's business units for commercial application.
In this role, your responsibilities will include:
Develop and implement novel machine learning models to accelerate computational chemistry.
Integrate state-of-the-art geometric deep learning and scalable machine learning techniques into scientific computing pipelines.
Publish research findings in top-tier conferences and journals.
Create open-source software tools for developers and practitioners.
Collaborate with Intel business units to transfer technology for commercial use.
Work effectively in a dynamic, team-oriented environment.
Communicate research outcomes and technical information clearly through written and verbal means.
The successful candidate should exhibit the following behavioral traits:
Good analytical skills
Problem-solving skills
Independent work ethic
Intuitive thinking
You must possess the below minimum education requirements and minimum required qualifications to be initially considered for this position. Relevant experience can be obtained through schoolwork, classes, project work, internships, and/or military experience. Additional preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.
Minimum Qualifications:
PhD in Computer Science, Electrical Engineering, STEM-related field. (e.g., Statistics, Applied Math, Computational Neuroscience, etc.).
1+ year of experience in:
Designing and training deep learning models and other machine learning techniques.
Contributing original research to the field of deep reinforcement learning, evidenced by peer-reviewed publications in top-tier conferences or journals.
Utilizing deep learning and machine learning frameworks such as PyTorch and TensorFlow.
Benefits:
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here:
https://jobs.intel.com/en/benefits
Annual Salary Range for jobs which could be performed in the US:
$168,100.00-$237,310.00Salary range dependent on a number of factors including location and experience.
Work Model for this Role
This role is available as a fully home-based and generally would require you to attend Intel sites only occasionally based on business need. This role may also be available as our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.The application window for this job posting is expected to end by 02/07/2025
Intel is building on its unrivaled history of innovation to power the future of computing and communications. Intel's ambitions? A world that runs on Intel. Intel is doing this by helping its customers find the technologies and solutions that allow them to transform their businesses and gain market advantage. And it all starts with data. Intel is on a journey from a PC-centric company to a data-centric company. Intel's unmatched depth of experience and scope of vision allows it to dream big, to create a world where Intel powers the future of computing and communications—including powerful processors and accelerators that unlock the full potential of data. Intel continuously delivers advances in performance, power, and connectivity across a diversity of data-centric workloads, so its customers can harness the raw power of data. Intel's innovations span architecture, memory, software, and security to help develop transformative products and experiences for its customers. Collectively, Intel's 107,000 employees worldwide are enabling amazing experiences in 5G, artificial intelligence, driverless cars, and much more.
